ChatGPT for PLC/DCS Control Logic Generation-Reference-Cited by-同舟云学术

ChatGPT for PLC/DCS Control Logic Generation

Published:2023-09-12 Issue: Volume: Page:
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Container-title:2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
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Author:

Koziolek Heiko¹,Gruener Sten¹,Ashiwal Virendra¹

Affiliation:

1. ABB Research,Ladenburg,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275065/10275329/10275411.pdf?arnumber=10275411

Reference21 articles.

1. An empirical evaluation of github copilot’s code suggestions;nguyen;Proceedings of the 19th International Conference on Mining Software Repositories,2022

2. Rule-based code generation in industrial automation

3. The road to automated engineering;koziolek;ABB Review,2021

4. A categorical archive of chatgpt failures;borji,2023

5. A prompt pattern catalog to enhance prompt engineering with chatgpt;white,2023

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2. From Unstructured Product Descriptions to Structured Data for Industry 4.0 with ChatGPT;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12

3. LLM-based Control Code Generation using Image Recognition;Proceedings of the 1st International Workshop on Large Language Models for Code;2024-04-20

4. LLM-based and Retrieval-Augmented Control Code Generation;Proceedings of the 1st International Workshop on Large Language Models for Code;2024-04-20

5. Generative Artificial Intelligence for Industry: Opportunities, Challenges, and Impact;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19